The ability to synthesize sequences of arbitrary length, often many minutes long, is critical to the task of dance generation.
However, since EDGE generates every frame of a dance sequence at once, naively increasing the maximum sequence length incurs a linear increase in computational cost.
Moreover, dance generation requires that the conditioning \(\mathbf {c}\)  match the motion sequence in length, causing further scaling of memory demands, which is especially severe in the case of embeddings from large models like Jukebox [1]}.
To approach the challenge of long-form generation, EDGE leverages its editability to enforce temporal consistency between multiple sequences such that they can be concatenated into a single longer sequence.
Refer to fig:4 for a depiction of this process.
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